cleanroomsml/aws.sdk.kotlin.services.cleanroomsml.model/MlSyntheticDataParameters

MlSyntheticDataParameters

Parameters that control the generation of synthetic data for custom model training, including privacy settings and column classification details.

Types

Builder

class Builder

Companion

object Companion

Properties

columnClassification

val columnClassification: ColumnClassificationDetails?

Classification details for data columns that specify how each column should be treated during synthetic data generation.

epsilon

val epsilon: Double

The epsilon value for differential privacy, which controls the privacy-utility tradeoff in synthetic data generation. Lower values provide stronger privacy guarantees but may reduce data utility.

maxMembershipInferenceAttackScore

val maxMembershipInferenceAttackScore: Double

The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.

Functions

copy

inline fun copy(block: MlSyntheticDataParameters.Builder.() -> Unit = {}): MlSyntheticDataParameters

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String